twitter140-sentiment-analysis/roberta_year_as_token_better_finetunning/01_create_datasets.py

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import datetime
from config import LABELS_DICT
with open('../test-A/in.tsv','r') as f_in, open(f'./test-A_huggingface_format_year.csv', 'w') as f_hf:
f_hf.write('text\tyear_cont\tdate\tday_of_year\tday_of_month\tmonth\tyear\tweekday\tlabel\n')
for line_in in f_in:
year_cont, date, text = line_in.rstrip('\n').split('\t')
d = datetime.datetime.strptime(date,"%Y%m%d")
day_of_year = str(d.timetuple().tm_yday)
day_of_month = str(d.day)
month = str(d.month)
year = str(d.year)
weekday = str(d.weekday())
day_of_year = str(d.timetuple().tm_yday)
text = '<pad> ' *4 + text
f_hf.write(text +'\t' +year_cont +'\t'+ date + '\t' + day_of_year + '\t' + day_of_month + '\t' + month + '\t' + year + '\t' + weekday + '\t' + str('0') + '\n')
for dataset in 'train', 'dev-0':
with open(f'../{dataset}/in.tsv') as f_in, open(f'../{dataset}/expected.tsv') as f_exp, open(f'./{dataset}_huggingface_format_year.csv','w') as f_hf:
f_hf.write('text\tyear_cont\tdate\tday_of_year\tday_of_month\tmonth\tyear\tweekday\tlabel\n')
for line_in, line_exp in zip(f_in, f_exp):
label = str(LABELS_DICT[line_exp.rstrip('\n')])
year_cont,date,text = line_in.rstrip('\n').split('\t')
d = datetime.datetime.strptime(date,"%Y%m%d")
day_of_year = str(d.timetuple().tm_yday)
day_of_month = str(d.day)
month = str(d.month)
year = str(d.year)
weekday = str(d.weekday())
day_of_year = str(d.timetuple().tm_yday)
text = '<pad> ' *4 + text
f_hf.write(text +'\t' +year_cont +'\t'+ date + '\t'+ day_of_year + '\t' + day_of_month + '\t' + month + '\t' + year + '\t' + weekday + '\t' + label + '\n')